2 citations · 4 across the 3 of their papers we have counts for
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cs.RO2024
Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning
Xiaoyu Zhang, Matthew Chang, Pranav Kumar +1
A common failure mode for policies trained with imitation is compounding execution errors at test time. When the learned policy encounters states that are not present in the expert…
cs.RO2023★ 2 cited
GOAT: GO to Any Thing
Matthew Chang, Theophile Gervet, Mukul Khanna +10
In deployment scenarios such as homes and warehouses, mobile robots are expected to autonomously navigate for extended periods, seamlessly executing tasks articulated in terms that…